Prof. Fengyun Cao | Computer Vision Awards | Excellence in Research Award

Prof. Fengyun Cao | Computer Vision Awards | Excellence in Research Award 

Prof. Fengyun Cao, Hefei Normal University, China

Dr. Cao Fengyun is an Associate Professor and Master’s Supervisor at the School of Computer and Artificial Intelligence, Hefei Normal University, where she also serves as Director of the Department of Computer Science and Technology. Her primary research interests include digital image processing, computer vision, and artificial intelligence. Dr. Cao is a member of the Image Application and System Integration Committee of the Chinese Image and Graphics Society and serves on the young editorial board of the international journal INSTRUMENTATION. She is also a reviewer for numerous prestigious journals such as IEEE/CAA Journal of Automatica Sinica, Scientific Reports, and The Journal of Supercomputing. She currently holds the position of Vice President of Science and Technology at the Medical Artificial Intelligence Technology R&D Center, Hefei Innovation Institute. Over the years, she has led various funded research projects, including those focused on depth estimation, remote sensing, and smart control systems. Dr. Cao has authored several high-impact papers and holds 10 authorized invention patents, along with multiple software copyrights and integrated circuit layout designs. Her work has earned her accolades including the “Research Star” award and third prize in the Anhui Province Science and Technology Awards. She has also contributed to the development of local standards in smart systems and information monitoring.

Professional Profile:

SCOPUS

Summary of Suitability:

Dr. Cao Fengyun, an Associate Professor and Director of the Department of Computer Science and Technology at the School of Computer and Artificial Intelligence, Hefei Normal University, is a highly accomplished researcher with a proven track record in digital image processing, computer vision, and artificial intelligence. His outstanding contributions to both theoretical advancements and practical innovations make him an excellent candidate for the Excellence in Research Award.

🎓 Education & Work Experience

  • 👨‍🏫 Teaching Assistant
    School of Computer Science, Hefei Normal University
    📅 June 2013 – November 2017

  • 👨‍🏫 Lecturer
    School of Computer Science, Hefei Normal University
    📅 December 2017 – December 2022

  • 👩‍🏫 Associate Professor
    School of Computer and Artificial Intelligence, Hefei Normal University
    📅 January 2023 – Present

  • 🧠 Vice President of Science and Technology
    Medical AI Technology R&D Center, Hefei Innovation Institute
    📅 November 2024 – Present

🏆 Achievements

  • 📚 Research Areas:
    Digital Image Processing, Computer Vision, Artificial Intelligence

  • 🧪 Research Projects (Host):

    • 🔍 Magnetic Tile Surface Defect Detection (2024–2025)

    • 🤖 Monocular Image Depth Estimation using Deep CNN (2019–2020)

    • 🖼 Single Image Depth Restoration via Low-level Features

    • 🌩 Cloud Tech for Remote Sensing Image Thinning (2018–2019)

    • 🔧 Smart Fire Protection Water Supply System (2025)

    • 📡 High Performance Frequency Hopping Filter Development

    • Intelligent Control System for Power Distribution Cabinet (2021)

    • 🔋 Smart-LW Charging Operation and Maintenance System

    • 🧠 Graph Neural Network Intelligent Computing System (Ranked 3rd)

    • 🌐 IoT Equipment Remote Upgrade System (2021)

  • 📄 Representative Papers:

    • Electric Bike Testing DatasetAlexandria Engineering Journal (2024, SCI Zone II TOP)

    • 🎯 YOLOv7-based Anti-target DetectionTraitement du Signal (2023, SCI)

    • 🧩 PCB Defect Recognition via Bi-directional Feature ExtractionJournal of Wuhan University of Technology

    • 🖌 Edge Blur Estimation for Depth RestorationJournal of Computers

    • 🧠 Image Segmentation and Depth RecoveryJournal of Chinese Image and Graphics

  • 💡 Intellectual Property:

    • 🔬 Invention Patents: 10 (Ranked 1st to 8th) – covering intelligent factories, robotic arms, IoT, and image processing

    • 💻 Software Copyrights: 3 (First author)

    • 🧿 Integrated Circuit Layout Designs: 2 (One authored by him)

🥇 Awards & Honors

  • 🌟 HefeiNormal University Research Star, 2022

  • 🥉 Third Prize – Natural Science Award (Host), Hefei Normal University, 202X

  • 🥉 Third Prize – Anhui Province Science and Technology Award (Ranked 4th), 2021

  • 🏅 Excellence in Science & Technology Progress, Anhui Provincial Computer Society (1st Rank), 2021

Publication Top Notes:

Optimization of the Pure Pursuit algorithm based on real-time error

Dr. Mengjuan Chen | Vision Measurement Award | Best Researcher Award

Dr. Mengjuan Chen | Vision Measurement Award | Best Researcher Award

Dr. Mengjuan Chen, Hiroshima University, China

Mengjuan Chen, born in September 1994 in Nanjing, Jiangsu, is a dedicated researcher in the fields of computer vision and robotic visual measurement. Currently pursuing her Ph.D. in Smart Innovation at Hiroshima University (Oct. 2021 – Sept. 2024), Mengjuan holds a Master’s degree in Control Engineering from the University of Chinese Academy of Sciences (Sept. 2016 – Jun. 2019) and a Bachelor’s degree in Automation from Beijing University of Chemical Technology (Sept. 2012 – Jun. 2016). Her impressive academic journey is adorned with numerous accolades, including a National Scholarship, “Merit Student” and “Excellent Student Cadre” awards from the Chinese Academy of Sciences, and top prizes in national industry automation competitions. Professionally, Mengjuan has been contributing to the Institute of Automation at the Chinese Academy of Sciences since July 2019, focusing on the research and development of structured light 3D cameras and high-speed 3D reconstruction systems. Additionally, she serves as the CEO of ZHONG KE SHI JIE (Nanjing) Technology Co., Ltd. Her experience also includes internships at Innovation Works AI Engineering Institute and Baidu, where she worked on visual algorithms and autonomous vehicle technology. Mengjuan’s technical skills and leadership in advancing robotic and computer vision technologies mark her as a notable figure in her field.

Professional Profile

Educational Background:

  • Oct. 2021-Sept. 2024: Smart Innovation Doctor, Hiroshima University 🎓
  • Sept. 2016-Jun. 2019: Master in Control Engineering, University of Chinese Academy of Sciences 📘
  • Sept. 2012-Jun. 2016: Bachelor in Automation, Beijing University of Chemical Technology 🏫

Awards and Recognitions:

  • National Scholarship 🏆
  • “Merit Student” of Chinese Academy of Sciences 🌟
  • “Excellent Student Cadre” of Chinese Academy of Sciences 🌠
  • Siemens Cup Challenge for Industry Automation: National First Prize 🥇
  • AB Cup Challenge for Industry Automation: National Second Prize 🥈

Professional Experience:

  • Jul. 2019-Present: Scientific Researcher, Institute of Automation, Chinese Academy of Sciences 🧑‍🔬
    • Projects:
      • Development of Structured Light 3D Camera 📸
      • High-speed 3D Reconstruction and Point Cloud Analysis System for Moving Objects 🌐
      • Psychological Intelligence Perception and Big Data Analysis (Joint Laboratory) 🧠
  • Nov. 2019-Present: CEO, ZHONG KE SHI JIE (Nanjing) Technology Co., Ltd 🏢

Internship Experience:

  • Jun. 2018-Sept. 2018: Visual Algorithm Intern, Innovation Works AI Engineering Institute 🤖
    • Work Content: Developed detection and classification algorithm for bread automatic settlement machine products 🍞
  • Sept. 2015-Dec. 2015: Algorithm Intern, Baidu Business Department of Internet Vehicles 🚗
    • Achievement: Secured a special offer in the Computer Vision Algorithm team of Baidu’s L4 unmanned vehicle department 🎯
  • Jul. 2014-Aug. 2014: Field Engineer, Schlumberger D&M Department 🛢️

 

Publications Notes:📄

A Visual-Feedback-Based Active Light-Section 3-D Reconstruction Method for Moving Objects

PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers

A Novel Dynamic Light-Section 3D Reconstruction Method for Wide-Range Sensing

Region Probability Map-Guided Fast Wide-Area Multiobject Detection

Relay Contact Performance Detection Based on High Precision 3D Point Cloud Registration

Modeling and Calibration of Active Thermal-Infrared Visual System for Industrial HMI